Comparison of denoising methods for digital mammographic image

• Main Authors: Khairuddin, Nor'aida, Mohd. Isa, Norriza, Wan Hassan, Wan Muhamad Saridan
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2012
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/46710/1/NOR%27AIDA%20KHAIRUDDIN_2012_COMPARISON%20OF%20DENOISING%20METHODS%20FOR%20DIGITAL%20MAMMOGRAPHIC%20IMAGE.pdf; http://eprints.utm.my/id/eprint/46710/; http://dx.doi.org/10.11113/jt.v57.1527
• Institution: Universiti Teknologi Malaysia

We compared effects of denoising methods on digital mammographic images. The denoising methods studied were an adaptive Wiener filter and low–pass Gaussian filter. The denoising methods were applied as an image preprocessing techniques before enhancement. The performance of image denoising methods are based on Mean Squared Error (MSE) and Peak Signal To Ratio (PSNR) values.